# Improving Planned Surgical Case Duration Accuracy by Leveraging the EHR and Predictive Modeling

> **NCT03471377** · — · COMPLETED · sponsor: **Memorial Sloan Kettering Cancer Center** · enrollment: 683 (actual)

## Conditions studied

- Operative Time

## Interventions

- **OTHER:** standard scheduling process
- **OTHER:** assigned a planned case duration value from predictive model

## Key facts

- **NCT ID:** NCT03471377
- **Lead sponsor:** Memorial Sloan Kettering Cancer Center
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2018-03-05
- **Primary completion:** 2022-03-15
- **Final completion:** 2022-03-15
- **Target enrollment:** 683 (ACTUAL)
- **Last updated:** 2022-03-17


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT03471377

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT03471377, "Improving Planned Surgical Case Duration Accuracy by Leveraging the EHR and Predictive Modeling". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT03471377. Licensed CC0.

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